Introduction to Real World Statistics
Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation, an introduction to the concept of probability, data screening and descriptive statistics, various inferential analysis techniques, and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions.
Notable features include:
- Short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making.
- Statistical procedures presented in a practical context with less emphasis on technical jargon.
- Early chapters that build a foundation before presenting statistical procedures.
- SPSS step-by-step detailed instructions designed to reinforce student understanding.
- Real world exercises complete with answers.
- Chapter PowerPoints and test banks for instructors.
Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation, an introduction to the concept of probability, data screening and descriptive statistics, various inferential analysis techniques, and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions.
Notable features include:
- Short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making.
- Statistical procedures presented in a practical context with less emphasis on technical jargon.
- Early chapters that build a foundation before presenting statistical procedures.
- SPSS step-by-step detailed instructions designed to reinforce student understanding.
- Real world exercises complete with answers.
- Chapter PowerPoints and test banks for instructors.
Description
Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation, an introduction to the concept of probability, data screening and descriptive statistics, various inferential analysis techniques, and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions.
Notable features include:
- Short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making.
- Statistical procedures presented in a practical context with less emphasis on technical jargon.
- Early chapters that build a foundation before presenting statistical procedures.
- SPSS step-by-step detailed instructions designed to reinforce student understanding.
- Real world exercises complete with answers.
- Chapter PowerPoints and test banks for instructors.
